Triple
T20451591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alun Wyn Jones |
E501663
|
entity |
| Predicate | worldRecordTestCapsHolder |
P140153
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Alun Wyn Jones, worldRecordTestCapsHolder, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRecordTestCapsHolder Context triple: [Alun Wyn Jones, worldRecordTestCapsHolder, true]
-
A.
worldRecordSet
Indicates that an entity has achieved and established the best performance ever recorded in the world for a particular activity, event, or measurable criterion.
-
B.
worldRecordCount
Indicates the number of world records associated with a given entity.
-
C.
worldRecordsHeld
Indicates that an entity holds or has achieved one or more officially recognized world records.
-
D.
wasWorldRecordFor
Indicates that something held the status of being the best performance or highest achievement ever recorded for a particular event, category, or metric at a given time.
-
E.
worldRecordSetOn
Indicates that a world record was achieved or established on a specific date or occasion.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d0296ac819081e74c67d3cc6349 |
completed | April 20, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:32 a.m.